Makoto “Freak” Yuki

Makoto “Freak” Yuki — CS2 Stats

GT76561198385604340[U:1:425338612]Steam profile ↗

1,432Tracked matches48%Win rate2024Tracked since
1,339Hours in CS34Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#12180 of 30032 tracked
FaceitLevel 8 · 1,395 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate49.1%47.2%49.0%meets
Shot accuracy0.1%12.3%13.1%13.0% short
Kill/death ratio1.001.071.080.08 short
Match win rate34.4%46.3%46.9%12.6% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMakoto “Freak” YukiFACEITLevel 8 · 1,395 ELOSTANDINGTop 31.2% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim66
Positioning66
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateWLWWWWWTLL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression8.4
Utility6.1
Positioning6.6
Opening Duels3.2
Clutch5.4

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 57% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.6
Positioning6.6
Utility6.1
Mechanics3.7
Opening Duels3.3
Win Impact4.4

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time505ms−89ms
first ⅓ avg 594ms → last ⅓ avg 505ms
Headshot accuracy16.3%−2.4%
first ⅓ avg 18.7% → last ⅓ avg 16.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.21Best rating — debris 9–5
131Biggest win — mirage
6Longest win streak
66In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 53% over 19nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B1910953%0.01
mirageB1991047%0.01
cacheB178947%0.02
anubisB126650%-0.01
ancientD103730%0.02
nukeD92722%-0.01
infernoC52340%0.01
train21150%-0.01
overpass1010%0.01
eldorado110100%0.18
poseidon110100%0.10
debris110100%0.21
fachwerk110100%0.03
boulder110100%0.05
shelter110100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,877Lifetime kills
1.00K/D
2,305Matches
34.4%Match win rate
49.1%Headshot % · Top 50% of Level 8 players
0.1%Shot accuracy
4,631MVPs
838Hours (in match)
2,095Bombs planted
518Bombs defused

Most-used weapons

Lifetime map wins

2,810dust2
2,361inferno
2,317nuke
1,538vertigo
475train
69office
26ar_shoots
22italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

204Matches
52%Win rate
1.36Avg K/D
89.5ADR
41%Headshot %

Clutches & streaks

47%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust24459%1.3219.1
Mirage3741%1.1816.8
Nuke3647%1.4018.7
Anubis2767%1.5718.5
Inferno2241%1.1516.6
Ancient1258%1.4019.3
Cache1070%1.6521.0
Train757%1.7519.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.7%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.8%Spray accuracy
66.6%Counter-strafing
8.6°Preaim
523msReaction time
28.7%T opening success
56.6%CT opening success
0.64Enemies flashed / flash
8.6%Flash assists
8.38HE damage / grenade
13.50Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.7327% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0422%29 Aug
anubis8–130.0015%29 Aug
cache13–20.0535%29 Aug
mirage13–9-0.0118%29 Aug
cache13–110.0113%28 Aug
anubis13–110.0215%28 Aug
mirage9–20.028%28 Aug
anubis15–15-0.0121%28 Aug
mirage4–13-0.130%26 Aug
inferno0–20.000%26 Aug
cache8–13-0.0022%23 Aug
mirage13–11-0.0117%23 Aug
ancient7–130.0911%23 Aug
mirage13–160.0418%23 Aug
mirage10–13-0.0416%23 Aug
anubis13–90.0119%22 Aug
anubis13–6-0.046%20 Aug
mirage3–90.1123%20 Aug
cache6–13-0.0219%20 Aug
train10–13-0.1112%20 Aug
train13–90.1029%20 Aug
anubis6–13-0.125%20 Aug
overpass8–130.0118%19 Aug
anubis16–140.0715%17 Aug
nuke13–40.129%17 Aug
dust211–130.0316%17 Aug
nuke13–70.0218%17 Aug
inferno13–30.1634%16 Aug
ancient9–130.1419%16 Aug
dust210–130.1212%16 Aug
mirage11–130.0418%16 Aug
nuke1–13-0.0916%16 Aug
nuke4–130.0117%16 Aug
cache13–90.1215%16 Aug
ancient13–90.058%15 Aug
mirage13–6-0.0110%15 Aug
dust26–13-0.015%15 Aug
dust216–130.0912%14 Aug
mirage14–160.1117%12 Aug
mirage13–110.0528%12 Aug
mirage4–13-0.0338%11 Aug
anubis13–4-0.0113%11 Aug
cache1–13-0.0814%11 Aug
ancient13–70.0320%9 Aug
dust25–13-0.0515%5 Aug
nuke5–13-0.0412%31 Jul
dust27–130.0316%30 Jul
ancient6–130.0017%30 Jul
dust210–13-0.0416%30 Jul
cache9–130.067%26 Jul
ancient13–40.0311%26 Jul
cache10–13-0.0112%25 Jul
dust28–13-0.0632%22 Jul
nuke8–13-0.0614%22 Jul
dust213–30.0213%21 Jul
dust213–8-0.027%16 Jul
cache13–30.1215%16 Jul
ancient8–13-0.028%15 Jul
mirage10–13-0.0319%15 Jul
cache2–13-0.054%15 Jul
ancient8–13-0.0210%14 Jul
anubis5–13-0.0217%14 Jul
dust213–70.0027%13 Jul
mirage13–60.0015%13 Jul
dust213–80.0414%13 Jul
anubis15–15-0.0114%12 Jul
dust20–13-0.100%12 Jul
mirage5–13-0.0621%12 Jul
mirage11–130.019%12 Jul
nuke0–8-0.0314%12 Jul
ancient9–13-0.0616%12 Jul
dust213–20.1722%11 Jul
inferno0–9-0.0867%11 Jul
cache13–100.1218%11 Jul
anubis4–13-0.0415%11 Jul
inferno16–130.0316%11 Jul
eldorado9–20.1826%10 Jul
poseidon9–20.1025%10 Jul
debris9–50.2125%10 Jul
dust213–8-0.0418%10 Jul
cache13–80.0521%9 Jul
nuke15–150.0217%9 Jul
fachwerk13–90.0314%9 Jul
boulder13–40.0521%9 Jul
shelter13–30.0112%8 Jul
nuke10–13-0.0217%8 Jul
cache13–70.0514%8 Jul
cache4–130.0322%8 Jul
cache11–130.0312%7 Jul
cache13–40.0219%7 Jul
mirage13–1-0.0214%3 Jul
mirage13–9-0.0316%3 Jul
dust216–120.0734%3 Jul
mirage13–40.1112%30 Jun
dust29–13-0.0321%30 Jun
cache0–6-0.070%17 Jun
ancient5–13-0.0411%17 Jun
anubis16–14-0.039%15 Jun
dust213–8-0.0222%4 Jun
inferno7–13-0.0717%2 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →